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https://arxiv.org/src/2608.04003
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https://arxiv.org/pdf/2608.02918
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/pdf/2607.27070v1
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https://arxiv.org/src/2006.03594
MÍí«ÅÇ̸lòŸœSç9iXb�¸Yگĩ:|#Kf¥fê[L�¡p�/YYyºãVVà} Ÿ¯k[ßvÉ ¤‰ô›“ÿª¿^×EbÃeßzíÖxBØìÙ+’´6“ µ±ÞËj‚´ZªÓEXñ_Kôeͨd¤­[àà½úÒÖÿP²Ž†½Ã½7t¹Eº EN½Aõ j|XW×€w9;pºÄWgb|/´jjÑFÄ,>ˇÊcç¬mÐâ

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https://arxiv.org/src/2402.03300
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https://arxiv.org/src/2006.02055
×ÿÔé3Bùâ½È¤/;?æ$þæûßeRø ™B&ØOȤô2ÁB&åŸ�éÐOȤò2AåF¨ŸñMýŸz•ÓÍ?_èuø×þ¸5²–%ÐD2æÛ?²ÿˆHwý/øt!wœ¾ò¹êÒø~õßõ?Kð°ÿ¸fœœ¿_ŒoÖÿôzP ûÓÿ?0åÿ¯ÿÿ{d¯©®¾,TN‘uoýäêäÜMjFg}#+ $Â;º±" ˆ€s!»‚”誓 ˆ>ƃ^íÐ[zA èho¤UŠQáØ€Þ‹+(�øTþ©lX™oZ

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https://arxiv.org/pdf/2608.03833
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‹•�Ý^ì} `Åúx°`¡‚ˆ"(¬Æ¶½’œ-DD@î³AL“MšdË&¡)i¨ ˆ¢ò¿iiº �.

https://arxiv.org/src/2006.03318
$³“Óyg†–öäÓ>PPÙ/,A'z�l ð•£q¢ŽCÌjÞbÂ`Œ�b�jrçR 0·v…Œ %ó#\\ˆ¬&ð)Ü|�LK\&¿¿E:™"ĉ4 Ò¦�ˆG,ቹ$ i1μšd(ù­•ÿ

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https://arxiv.org/src/2006.02155
¥Ú’–�™YÁ“NóhZï Œa·¼¥�VÁñÅç¿*޹0d”•÷œ³¨ö´Hjze³¦¢íð$aìü?_ªkÓl!¥Dûsõ…n`&Þ*©åN%¾b¢7i¿éÑ®p:ˆöE¿T—°¬Ù§4¯‘›ÀsJø¹ƒøfÁ›|ð’�î�u*Æ$fÒò÷ÄÁËš«?C‰8œ„Àþ©oÝdkzyQ::¾Ûh[ú3ìlÁ‹þÖÙ†Þ¶ÙÈBt¸ªðÛœÇäñ¦òÆdÊ|J[ß+ƒáUsì‚/g®êš,†eÑNVÉÕ©i…HìÂÎ

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https://arxiv.org/pdf/2608.03411
” ý6appÂl‘Мe~Ž-yè�2GiìÂ�‘‡&pf3ÒK·¤—jGÒKeòÁ ,õ"&:w|Ò¶öÝP"´rf�r\úÂxÝqF¢Ë=/Ü–ºƒÛn¦Èâ™îÆ*>Ó]zJX-éw_îö0}óó0°(B²5àû×±&›ì2 �

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking

Information Retrieval

https://arxiv.org/list/cs.IR/recent
IR) Tue, 4 Aug 2026 (showing first 34 of 45 entries ) [17] arXiv:2608

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation

Information Retrieval

https://arxiv.org/list/cs.IR/new
CL) Existing deep-research agents use a search-visit workflow that retrieves and reads whole pages, without considering the addressable structure that web sources expose through titles, headings, sections, and metadata

1 Introduction

https://arxiv.org/html/2407.16741v3
OpenDevin), a platform for the development of powerful and flexible AI agents that interact with the world in similar ways to those of a human developer: by writing code, interacting with a command line, and browsing the web

Sphere Retraction Normalizations

https://arxiv.org/html/2608.02668v1
Sphere pp-Angular Retraction Normalization

Herding, Momentum, and Reversal in China’s A-Share Market: An Agent

https://arxiv.org/html/2607.27063v1
In practice, however, limits to arbitrage and correlated non-fundamental demand can allow prices to depart from fundamental values (De Long et al

Probing Character-level Transformers for the Spanish L-shaped Morphome

https://arxiv.org/html/2608.03452v1
de Abstract When a transformer learns an irregular morphological pattern, what has it learned

Automatic Patient-Specific Microwave Ablation Planning Accelerated by a

https://arxiv.org/html/2608.03086v1
org perpetual non-exclusive license arXiv:2608

Report GitHub Issue

https://arxiv.org/html/2609.02852v1
Report GitHub Issue Description: arXiv is now an independent nonprofit

Inverse Learning of Latent Risk-Neutral Densities from Irregular Option

https://arxiv.org/html/2607.27188v1
org perpetual non-exclusive license arXiv:2607

Activation-Guided Neuron Intervention to Induce Alzheimer’s-Related

https://arxiv.org/html/2608.03067v1
7Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain

Train Often, Deploy Selectively: Forward-Gated Model Replacement in

https://arxiv.org/html/2607.28577v1
org perpetual non-exclusive license arXiv:2607

Report GitHub Issue

https://arxiv.org/html/2608.00458v1
org perpetual non-exclusive license arXiv:2608

Can Large Language Models Execute Parent Orders?

https://arxiv.org/html/2607.28410v1
org perpetual non-exclusive license arXiv:2607

Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis

https://arxiv.org/html/2608.03011v1
org perpetual non-exclusive license arXiv:2608

Report GitHub Issue

https://arxiv.org/html/2608.03154v1
org perpetual non-exclusive license arXiv:2608

Report GitHub Issue

https://arxiv.org/html/2608.03545v1
org perpetual non-exclusive license arXiv:2608